Lars Schmidt-Thieme
Impact in
- Computational Mathematics top 0.2%
- Information Systems top 0.05%
- Recommender Systems and Techniques
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 23
- Machine Learning and Data Classification 21
- Advanced Graph Neural Networks 20
- Anomaly Detection Techniques and Applications 18
-
- Recommender Systems and Techniques 74
- Data Mining Algorithms and Applications 20
- Co-authors
- Steffen Rendle (22 shared papers)Christoph Freudenthaler (16 shared papers)Zeno Gantner (14 shared papers)Leandro Balby Marinho (17 shared papers)Nguyen Thai-Nghe (14 shared papers)Lucas Drumond (21 shared papers)Martin Wistuba (22 shared papers)Αλέξανδρος Νανόπουλος (35 shared papers)
In The Last Decade
Lars Schmidt-Thieme
236 papers receiving 8.8k citations
Lars Schmidt-Thieme's Hit Papers
Peers
Comparison fields: 5 of 178
- Computational Mathematics 361
- Information Systems 5.8k
- Artificial Intelligence 5.2k
- Computer Science Applications 729
- Signal Processing 1.3k
Countries citing papers authored by Lars Schmidt-Thieme
This map shows the geographic impact of Lars Schmidt-Thieme's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lars Schmidt-Thieme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Schmidt-Thieme more than expected).
Fields of papers citing papers by Lars Schmidt-Thieme
This network shows the impact of papers produced by Lars Schmidt-Thieme. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lars Schmidt-Thieme. The network helps show where Lars Schmidt-Thieme may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Schmidt-Thieme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Factorizing personalized Markov chains for next-basket recommendation Hit paper breakdown → | 2010 | 1837 |
| 2 | Pairwise interaction tensor factorization for personalized tag recommendation Hit paper breakdown → | 2010 | 511 |
| 3 | Fast context-aware recommendations with factorization machines Hit paper breakdown → | 2011 | 428 |
| 4 | Tag Recommendations in Folksonomies Hit paper breakdown → | 2007 | 410 |
| 5 | Learning time-series shapelets Hit paper breakdown → | 2014 | 336 |
| 6 | 2011 | 302 | |
| 7 | 2009 | 288 | |
| 8 | 2008 | 275 | |
| 9 | 2010 | 267 | |
| 10 | 2010 | 231 | |
| 11 | 2010 | 215 | |
| 12 | 2008 | 173 | |
| 13 | 2008 | 161 | |
| 14 | 2004 | 160 | |
| 15 | 2012 | 153 | |
| 16 | 2005 | 151 | |
| 17 | 2015 | 141 | |
| 18 | 2012 | 114 | |
| 19 | 2011 | 107 | |
| 20 | Learning Taxonomic Relations from Heterogeneous Sources of Evidence | 2005 | 81 |
About Lars Schmidt-Thieme
Lars Schmidt-Thieme is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 250 papers that have together received 9.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (74 papers), Time Series Analysis and Forecasting (35 papers), Intelligent Tutoring Systems and Adaptive Learning (23 papers), Machine Learning and Data Classification (21 papers), Data Mining Algorithms and Applications (20 papers), Advanced Graph Neural Networks (20 papers), Image Retrieval and Classification Techniques (20 papers) and Anomaly Detection Techniques and Applications (18 papers). The work is most often cited by research in Computational Mathematics (361 citations), Information Systems (5.8k citations), Artificial Intelligence (5.2k citations), Computer Science Applications (729 citations) and Signal Processing (1.3k citations). Lars Schmidt-Thieme has collaborated with scholars based in Germany, Greece and Brazil. Frequent co-authors include Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Leandro Balby Marinho, Nguyen Thai-Nghe, Lucas Drumond, Martin Wistuba, Αλέξανδρος Νανόπουλος, Nicolas Schilling and Josif Grabocka. Their work appears in journals such as Lecture notes in computer science, Knowledge and Information Systems, Data Mining and Knowledge Discovery, IEEE Intelligent Systems and User Modeling and User-Adapted Interaction.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.